Objective: To analyze the status of outdoor activities on weekends among children and adolescents of different educational stages in Shanghai and their impact on myopia, so as to provide a basis for formulating more specific prevention and control protocol of myopia. Methods: From September to October 2022, a stratified cluster random sampling method was employed to select 84 schools (27 kindergartens, 21 primary schools, 15 junior high schools and 21 high schools) across Shanghai, enrolling a total of 28 654 children and adolescents aged 4 to 18 for the study. Ophthalmic examinations were conducted to ascertain the prevalence of myopia among children and adolescents. Additionally, a questionnaire survey was administered to collect data on outdoor activity duration and associated factors. Multivariate Logistic regression analysis was utilized to investigate the associated factors of outdoor activity levels on weekends. Results: The overall myopia detection rate among children and adolescents was 58.4%, with a higher rate observed in girls (59.2%) compared to boys (57.6%). The myopia detection rates for children and adolescents with an average daily outdoor activity duration of ≥2 h and <2 h on weekends were 54.6% and 68.8%, and the differences were statistically significant ( χ 2=8.12,460.89, P <0.01). Multivariable Logistic regression analysis revealed that girls ( OR =0.80), those with a myopic parent ( OR =0.68), schools from urban districts ( OR =0.72), higher education stages (primary school: OR =0.65, junior high school: OR =0.24, high school: OR =0.14) and spending≥2 h/d on homework during weekends ( OR =0.57) among children and adolescents were less likely to engage in outdoor activities for ≥2 h on weekends ( P <0.01). After incorporating gender, parental myopia status, educational stage, school location, average daily duration on weekends for spending on homework, electronic product usage and outdoor activities as dependent variables in a multivariate Logistic regression analysis, the results showed that children and adolescents with an average outdoor activity duration for ≥2 h on weekends had a lower risk of myopia ( OR =0.86, P < 0.01). Conclusions The level of outdoor activity among children and adolescents on weekends needs to be improved. Outdoor activities on weekends is an associated factor for myopia among children and adolescents. Particularly, girls, those with myopic parents, schools from urban districts, and spending long hours on homework during weekends among children and adolescents require increased attention.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Objective To compare the efficacy and safety of different cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) combined with endocrine therapy (ET) for the treatment of hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2−) advanced or metastatic breast cancer. Methods Randomized controlled trials (RCTs) on CDK4/6i for the treatment of HR+/HER2− metastatic or advanced breast cancer were retrieved from databases including PubMed, EMbase, Web of Science, The Cochrane Library, CNKI, Wanfang, VIP, and SinoMed, with the search period ranging from database inception to August 2023. Bayesian network meta-analysis was conducted using R 4.2.0 software. Results A total of 18 RCTs from 25 articles, involving 8 031 patients and 11 treatment regimens, were included. There was no significant difference in progression-free survival (PFS) or overall survival (OS) among different CDK4/6i+ET combinations. The highest cumulative probability for PFS was observed with dalpiciclib (DAL)+fulvestrant (FUL), while ribociclib (RIB)+FUL ranked first for OS. In terms of efficacy, abemaciclib (ABE)+aromatase inhibitors (AI) and ABE+FUL ranked first in objective response rate and clinical benefit rate, respectively. Regarding safety, statistically significant difference in grade 3-4 adverse events was observed among certain types of CDK4/6i (P<0.05). Conclusion Current evidence suggests that CDK4/6i+ET is superior to ET alone for the treatment of HR+/HER2− advanced/metastatic breast cancer. Different CDK4/6i+ET combinations demonstrate comparable or similar efficacy; however, the incidence of adverse reactions is higher with combination therapy. Treatment regimens should be selected based on individual conditions.

An adult female presented with severe closed overbite,class Ⅱ skeletal and dental malocclusion,low angle and straight face.Helped with the clear aligners,the class Ⅱ dental malocclusion was corrected by maxillary molars distalization,the occlusion of anterior teeth were opened by posterior teeth extention and anterior teeth intrusion,and finally a balanced occlusion and an ideal smile line were obtained.

Objective:To explore the psychological experience and demand of parents of children with delayed recovery after congenital heart disease surgery.Methods:This study adopted phenomenological research methods from qualitative research. Using the purposive sampling method, parents of postoperative delayed recovery children with congenital heart disease who met the inclusion criteria were selected as the research objects from October to November 2019 at Fuwai Hospital, Chinese Academy of Medical Sciences. Semi-structured interviews were conducted with the parents of the children, and the data were analyzed by Colaizzi 7-step analysis method.Results:Finally, 13 parents of children with delayed recovery after congenital heart disease surgery were included. According to the interview results, four themes were extracted, which were negative psychological experience of parents of children with delayed recovery, positive psychological experience and expectation change of parents, heavy economic burden of parents and diversified needs of parents.Conclusions:During the delayed recovery period, psychological experience of parents is complex and their needs are diverse. The nursing staff should identify and pay attention to the causes of the negative psychological experience of the parents of the children, timely channel their negative emotions and strengthen the positive psychological experience in many aspects. They can assist parents to seek social help to reduce physical and mental pressure and meet the diverse needs of parents by providing high-quality nursing services and multi-channel information support.

ObjectiveTo discover and analyze single or several correlative key amino acid sites that influence the host tropism during the influenza A virus （IAV） infection based on complete internal protein gene segments of IAV strains， and to provide evidence for the study of human host-adaptive mutations of IAV. MethodsThe full-length nucleotide sequences of 43 671 IAV strains containing 6 complete internal gene segments were downloaded from the GISAID EpiFlu^TM database， and 698 human-tropic （HU） and 1 266 avian-tropic （AV） representative strains were included. The consensus coding sequences of the representative strains from the amphitropic category were compared by R script， and the differential amino acid sites and their polymorphisms were then obtained. The multi-site combination analysis of differential sites was conducted with R script. ResultsA total of 49 and 57 conserved differential sites were obtained from the consensus sequence comparison between AV and H1N1 （subtype from HU）， and comparison between AV and H3N2 （another subtype from HU）， separately. 79 and 65 multi-site combinations were found between HU and AV strains through 3 and 4 sites combination analysis， respectively， and a total of 11 conserved sites were involved： site 271 and 684 in PB2； site 336， 486， 581 and 621 in PB1； site 204 and 356 in PA； site 33， 305 and 357 in NP. No eligible differential sites were found in M1 and NS1. ConclusionSeveral conserved amino acid differential sites， between HU and AV strains of IAV， are found in PB2， PB1， PA and NP proteins. Instead of working as single units， these sites may have interactions， forming specific amino acid combinations that determine the host tropism of IAV collectively.

Objective:To explore the correlation between the triglyceride glucose (TyG) index and the risk of vitamin D deficiency (VDD) in patients with type 2 diabetes (T2DM).Methods:T2DM patients admitted to the Department of Geriatrics, the Second Xiangya Hospital of Central South University from February 2020 to February 2023 were included. We collected general clinical and biochemical data from patients and calculated the TyG index. Divide the study subjects into VDD group and control (CON) group based on serum 25 hydroxyvitamin D [25 hydroxyvitamin D, 25(OH)D] levels, and compare the general clinical characteristics between the two groups; Pearson rank correlation analysis was used to study the correlation between TyG index and 25(OH)D; According to the third percentile of the TyG index, the study subjects were divided into three groups (Q1, Q2, Q3), and logistic regression analysis was used to explore the association between the TyG index and the risk of VDD.Results:This study included 526 patients with T2DM, including 312 males and 214 females, aged 37 to 78 years old. There were 300 VDD patients, accounting for 57.03%, and 226 in the CON group. The TyG index of VDD patients was higher than that of the CON group ( P<0.05), and there was a negative correlation between the TyG index and serum 25(OH)D levels ( P<0.05). Logistic regression analysis showed that compared with the Q1 group, the risk of VDD in Q3 group patients was 2.892 times higher than that in Q1 group ( OR=2.892, 95% CI: 1.865-4.485, P<0.001). After adjusting for age, gender, smoking, obesity, insulin, oral hypoglycemic drugs, statin use, and blood biochemical indicators, the risk of illness in the Q3 group was 2.303 times higher than that in the Q1 group ( OR=2.303, 95% CI: 1.288-4.117, P=0.005). Conclusions:In T2DM patients, the TyG index is negatively correlated with serum 25 (OH) D levels. T2DM patients with high TyG index have an increased risk of VDD, and the TyG index can be used to observe the possibility of VDD occurrence, which is beneficial for early detection of VDD patients.